Two-way sync
Changes in PostgreSQL or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Keep PostgreSQL and Salesforce in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in PostgreSQL, where it can be queried and joined like everything else.
Stacksync mirrors Cases, Campaigns, Tasks and Events, Products and Price Books from Salesforce into Views, Materialized Views, Schemas, Columns in PostgreSQL with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Salesforce with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Accounts, contacts, and custom objects from Salesforce become tables in PostgreSQL you can join with application data directly.
Signup, usage, or lifecycle changes written to PostgreSQL sync onto the matching records in Salesforce, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Salesforce API, limits, and retries.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| PostgreSQL objects | Salesforce objects | |
|---|---|---|
| Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. | Accounts Company records that anchor most syncs; typically mapped to customer tables in a database or ERP. | |
| Views Read-side projections used to expose joined or filtered data to a sync. | Contacts People linked to Accounts; synced two-way with marketing, support, and warehouse person records. | |
| Materialized Views Precomputed result sets synced outward on a refresh schedule. | Leads Unqualified prospects; often written into Salesforce from enrichment or product-signup pipelines. | |
| Schemas Namespaces that scope which tables a sync reads and writes. | Opportunities Deal records with stage and amount; synced to databases for pipeline reporting and to ERPs at close. | |
| Columns Field-level mapping targets; types are mapped to the connected system's field types. | Cases Support records; synced with help desk tools or internal databases for escalation workflows. | |
| Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. | Campaigns Marketing membership data; read out for attribution analysis in the warehouse. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every PostgreSQL–Salesforce connection.
Changes in PostgreSQL or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever PostgreSQL or Salesforce data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single PostgreSQL or Salesforce record.
Track your PostgreSQL ⇄ Salesforce sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between PostgreSQL and Salesforce.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate PostgreSQL and Salesforce with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the PostgreSQL and Salesforce objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between PostgreSQL and Salesforce: authenticate both systems, choose the objects to sync (such as PostgreSQL's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed PostgreSQL and Salesforce connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom PostgreSQL–Salesforce integration in-house.
Yes — Stacksync ships production-grade connectors for both PostgreSQL and Salesforce. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on PostgreSQL: Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where. On Salesforce: Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Salesforce side: Cases, Campaigns, Tasks and Events, Products and Price Books, plus custom fields where Salesforce exposes them. On the PostgreSQL side: Views, Materialized Views, Schemas, Columns. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for PostgreSQL and Salesforce.